Metreecs - AI-Powered Demand Forecasting For Retailers

TL;DR: Metreecs helps retailers plan, buy, and allocate products using AI-demand forecasting. We prevent overstock and out-of-stock situations, allowing clients to eliminate waste, free up capital, and drive higher sales.

Problem 📉

• Financial Loss: Retailers worldwide lose over $1.8 trillion annually due to poor inventory planning. This issue stems primarily from two main problems: overstock and out-of-stock.
• Outdated Practices: Retailers rely on outdated tools like Excel, causing inefficiencies, forecasting errors, and missed opportunities.
• Environmental Cost: Fashion is the 3rd most polluting industry due to massive overproduction: 73% of textiles are burned or landfilled which contributes to 900 million tons of CO2 annually.

In the world of retail, inventory planning can often feel like a guessing game. One of our prospects, a company with a whopping $250M in revenue, humorously encapsulated this challenge during a recent call:

I quickly review our data and then check my crystal ball to pull a number out of thin air.

This playful take highlights a serious issue: without the right tools for accurate demand forecasting, retail planners resort to guesswork.

Solution 📈

Metreecs is an AI demand forecasting software for retailers. We analyze large sets of internal and external data to predict consumer demand. This helps our clients align their inventory with actual market trends, reducing overproduction, stockouts, and markdowns, all while automating 90% of manual tasks.

Our demand forecasting models drive 3 different modules:

• Buying: We ensure that our clients buy the right products, in the right quantities for the right locations.
• Reordering: We anticipate stockouts before they occur, and suggest product replenishments to prevent them.
• Rebalancing: We provide inventory reallocation suggestions to eliminate waste and meet customer demand.

Our Team 👬

• @Thibaut Pellegrin experienced the challenge firsthand—after co-founding a leather bag company and talking with industry experts, he realized there had to be a better way to manage inventory in retail.
• @Elie Dufeu, a graduate from École Polytechnique in Applied Mathematics and Columbia in Data Science, developed forecasting models for financial institutions before joining Metreecs.
• @Martin Dimitrov led the international expansion of Lydia in Italy, before moving into early stage venture capital where he invested in AI and B2B SaaS startups.

Our Ask 🫂

If you’ve worked in retail, sold software to retailers, or have connections in the industry, we’d greatly appreciate an introduction!

Feel free to reach out at martin@metreecs.com or book a slot directly: https://calendly.com/martin-metreecs